Blogs

A machine learning (ML) model is created by running training data through a number of different methods or algorithms so they can learn to handle

Many automotive part manufacturers use data from the production floor to guide decision-making. They often use statistical process control (SPC) and end-of-line (EOL) testing to

You’ve probably heard many of the terms in this post and maybe you have a sense that they’re important for Industry 4.0. But, do you

In the late 19th century, science fiction writer L. Frank Baum introduced the concept of an artificially intelligent robot to the world. It was the

Partnerships between automotive manufacturers and electric vehicle (EV) specialists, along with innovations in battery systems and efforts by governments to reduce CO2 emissions, are paving

Manufacturing is all about efficiency. The trouble is, in order to become more efficient, you need to find ways to make more with less. This

In 2012, General Electric found that one of its factories could generate 5,000 data samples every 33 milliseconds. Just one product line could produce as much as

In a recent webinar with Microsoft, we were fortunate to hear from Brian Willson, VP of the Midwest Region for Microsoft, Matt Townsend, Managing Director

In conversations with customers, we’re often asked to explain how our machine learning models come up with their predictions. Engineers want to understand what they are implementing

When it is obvious that the goals cannot be reached, don’t adjust the goals, adjust the action. Confucius Concept Drift is a term you seldom